Recommendation systems have emerged as a response to overload in terms of increased
amounts of information online, which has become a problem for users regarding the time …

In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …

As one of the most successful AI-powered applications, recommender systems aim to help
people make appropriate decisions in an effective and efficient way, by providing …

In recent years, education institutions have offered a wide range of course selections with
overlaps. This presents significant challenges to students in selecting successful courses …

This study focuses on understanding how much people, especially those working in the IT
industry, know about non-technical training programmes offered by corporate trainers …

As a major component of strategic talent management, learning and development (L&D)
aims at improving the individual and organization performances through planning tailored …

With the emergence of intelligent educational systems, numerous research works are
dedicated to Knowledge Tracing (KT), which refers to the issue of diagnosing students' …

In online learning scenarios, the learners usually hope to find courses that meet their
preferences and the needs for their future developments. Thus, there is a great need to …

This study focuses on understanding how much people in Ahmedabad, especially those
working in the IT industry, know about non-technical training programmes offered by …

Recently, one critical issue looms large in the field of recommender systems–there are no
effective benchmarks for rigorous evaluation–which consequently leads to unreproducible …